Jobs at YipitData

Own YipitAgent’s product-led growth motion across acquisition, trial activation, engagement, conversion, retention, and re-engagement. Optimize SEO/AEO, onboarding, in-product education, lifecycle communications, pricing, packaging, and trial experiences. Use customer research, behavioral data, funnel metrics, cohorts, and experimentation to identify growth opportunities. Partner with product, design, engineering, data, marketing, sales, and customer teams to launch, measure, and iterate on experiences that increase trials, active usage, and paid conversion.

Own and improve onboarding, training, and enablement programs for technical data teams. Build scalable systems, resources, and workflows; support recruiting through candidate evaluation and interviews; use AI tools to maintain content and identify training gaps; and measure onboarding, training, and operational outcomes using KPIs and automated tracking. The role partners cross-functionally with data leaders and employees in a fast-growing, ambiguous environment.

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Drive discovery, development, commercialization, and improvement of alternative data products. Evaluate and source datasets, collaborate with Partnerships and Revenue teams, conduct client research, shape product strategy, communicate roadmaps, and potentially build and manage a Product Development Analyst team. The role focuses on expanding revenue and client engagement through innovative data experiences and requires strong understanding of financial client needs and data technology.

Lead revenue growth by selling alternative data feed products to quantitative hedge funds and systematic investment firms. Own the full sales cycle from prospecting and qualification through contract execution, build pipeline through outreach and industry relationships, tailor solutions with product teams, exceed sales quotas, and represent the company at conferences and client meetings.

Develop outbound sales opportunities through cold calls, emails, direct mail, Bloomberg messages, and other channels. Qualify inbound leads, follow up with marketing-qualified opportunities, communicate YipitData’s value proposition, and map hedge fund and investment manager organizations to identify prospects. Collaborate with Marketing to improve conversion and use sales tools including Salesforce, Gong, Groove, LinkedIn Sales Navigator, ZoomInfo, and Asana.

Leads a web scraping engineering team and owns scraping infrastructure architecture, scalability, reliability, performance, monitoring, and data quality. Manages scrapers using Playwright, Puppeteer, and Selenium; solves dynamic-site, browser automation, fingerprinting, session, cookie, header, and proxy challenges. Mentors engineers, drives technical standards and planning, collaborates with Engineering, Data, Analytics, and Product teams, and participates in hiring and technical reviews.

Own GRC workstreams from evidence collection through remediation and completion. Test security controls, conduct risk assessments, map controls across frameworks, review vendors, support customer security questionnaires, maintain policies and risk documentation, track remediation, and improve GRC automation. Partner with Security, IT, Engineering, Legal, Finance, and People teams while helping develop governance for AI products and emerging technologies.

The Product Security Engineer partners with Engineering and Product teams to embed security throughout the development lifecycle. Responsibilities include threat modeling, architecture and security reviews, vulnerability validation, remediation planning, security-tool ownership, automation, secure coding guidance, incident response, and assessing risks in cloud and AI-enabled products. The role requires strong application security, identity, authentication, authorization, coding, communication, and cross-functional collaboration skills.

Design, build, refactor, and maintain resilient web scrapers for large-scale data extraction. Apply advanced fingerprinting and evasion techniques, manage dynamic content, sessions, cookies, headers, and proxy rotations, and optimize scraper reliability and scalability. Develop monitoring, logging, metrics, and alerting systems; troubleshoot failures and bottlenecks; collaborate with analysts and stakeholders on requirements and data quality; and document best practices and continuously improve scraping tools and methodologies.

Manages the full accounts receivable cycle, including invoicing, collections, cash application, reconciliations, discrepancy resolution, and customer communications. Reviews APAC payroll transactions in NetSuite, supports month-end close, prepares journal entries and account reconciliations, analyzes financial variances, and assists with annual audits and special accounting projects.

Design, build, and operate shared cloud infrastructure across AWS, Kubernetes, Terraform, Databricks, and Cloudflare. Lead SRE and DevOps initiatives involving reliability, observability, CI/CD, incident response, disaster recovery, cost optimization, and developer self-service. Partner with application and data engineering teams to improve workload operations, deployment safety, and infrastructure scalability. Participate in on-call rotations and contribute to technical standards, architecture, documentation, and sustainable 24/7 operations.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

Own product positioning and go-to-market strategy for YipitData’s AI and big data products serving public investors. Define customer segments and messaging, lead product launches, conduct competitive intelligence, support pricing and packaging, and create sales enablement materials. Partner with Product, Revenue, and Insights teams to shape the roadmap and drive adoption. Establish GTM success metrics, monitor performance, and improve strategies across data feeds, software, and AI-powered investor solutions.

Commercial Counsel will partner with commercial teams to draft, negotiate, and execute business contracts, including NDAs, while advising on legal and commercial issues. The role will improve contract processes, forms, and management systems; facilitate internal reviews; develop contracting frameworks; and recommend legal solutions aligned with business needs. This remote-friendly position requires strong judgment, communication, attention to detail, and the ability to work independently in a fast-changing technology and data-products environment.

Lead and transform YipitData’s global talent acquisition function, managing approximately seven recruiting professionals. Assess and redesign recruiting processes, establish scalable operating rhythms and metrics, advise senior leaders, improve sourcing and talent pipelines, oversee executive searches, and optimize the ATS, automation, and AI-enabled recruiting technology ecosystem. Drive stakeholder alignment, change adoption, hiring quality, speed, consistency, and continuous improvement.

Lead end-to-end development of AI-enabled, full‑stack products and production AI Agent systems. Own architecture, APIs, observability, and deployments; collaborate with product and stakeholders; balance rapid prototyping with scalable engineering; integrate LLMs and agent loops; mentor others and ensure reliability, performance, and customer-focused UX.

The Director of Strategic Data Partnerships will identify and execute exclusive data partnerships, engaging with executives to build alignment and negotiate complex agreements. This role focuses on strategic judgment and ongoing relationship management to drive product development and growth.

Manage and grow APAC client relationships for a data-driven market research firm. Drive user engagement and expansion, act as a trusted product expert, surface insights and engagement strategies, communicate complex ideas clearly, and handle high-touch, high-volume client accounts.

As a Senior Workplace Experience Associate, you will manage facilities, improve processes, oversee vendor relationships, and enhance employee experience in the workplace. This includes planning, compliance, project management, and cross-functional collaboration.